issue_comments: 325147198

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https://github.com/pydata/xarray/issues/1527#issuecomment-325147198 https://api.github.com/repos/pydata/xarray/issues/1527 325147198 MDEyOklzc3VlQ29tbWVudDMyNTE0NzE5OA== 1217238 2017-08-26T17:03:18Z 2017-08-26T17:03:18Z MEMBER

I attempted to reproduce but have not been successful: In [94]: d1 = xr.DataArray(np.zeros(366), [('time', pd.date_range('1979-01-01', freq='D', periods=366))]) In [95]: d2 = xr.DataArray(np.zeros((1000, 10)), {'time': pd.date_range('1979-01-01', freq='D', periods=1000), 'x': ('x', np.arange(10))}, dims=['time', 'x']) In [96]: d1.groupby('time.dayofyear') - d2.groupby('time.dayofyear').mean('time') Out[96]: <xarray.DataArray (time: 366, x: 10)> array([[ 0., 0., 0., ..., 0., 0., 0.], [ 0., 0., 0., ..., 0., 0., 0.], [ 0., 0., 0., ..., 0., 0., 0.], ..., [ 0., 0., 0., ..., 0., 0., 0.], [ 0., 0., 0., ..., 0., 0., 0.], [ 0., 0., 0., ..., 0., 0., 0.]]) Coordinates: * x (x) int64 0 1 2 3 4 5 6 7 8 9 * time (time) datetime64[ns] 1979-01-01 1979-01-02 1979-01-03 ... dayofyear (time) int64 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ...

 
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